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cs.CL2025
Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs
Yuan He, Bailan He, Zifeng Ding +8
Understanding and mitigating hallucinations in Large Language Models (LLMs) is crucial for ensuring reliable content generation. While previous research has primarily focused on "w…
cs.CL2024★ 1 cited
A Language Model based Framework for New Concept Placement in Ontologies
Hang Dong, Jiaoyan Chen, Yuan He +2
We investigate the task of inserting new concepts extracted from texts into an ontology using language models. We explore an approach with three steps: edge search which is to find…
cs.CL2024
Language Models as Hierarchy Encoders
Yuan He, Zhangdie Yuan, Jiaoyan Chen +1
Interpreting hierarchical structures latent in language is a key limitation of current language models (LMs). While previous research has implicitly leveraged these hierarchies to…